TY - GEN
T1 - Aligning software configuration with business and IT context
AU - Dalpiaz, Fabiano
AU - Ali, Raian
AU - Giorgini, Paolo
PY - 2012
Y1 - 2012
N2 - An important activity to maximize Business/IT alignment is selecting a software configuration that fits a given context. Feature models represent the space of software configurations in terms of distinguished characteristics (features). However, they fall short in representing the effect of context on the adoptability and operability of features and, thus, of configurations. Capturing this effect helps to minimize the dependency on analysts and domain experts when deriving a software for a given business and IT environment. In this paper, we propose contextual feature models as a means to explicitly represent and reason about the interplay between the variability of both features and context. We devise a formal framework and automated analyses which enable to systematically derive products aligned with an organizational context. We also propose FM-Context, a support tool for modeling and analysis.
AB - An important activity to maximize Business/IT alignment is selecting a software configuration that fits a given context. Feature models represent the space of software configurations in terms of distinguished characteristics (features). However, they fall short in representing the effect of context on the adoptability and operability of features and, thus, of configurations. Capturing this effect helps to minimize the dependency on analysts and domain experts when deriving a software for a given business and IT environment. In this paper, we propose contextual feature models as a means to explicitly represent and reason about the interplay between the variability of both features and context. We devise a formal framework and automated analyses which enable to systematically derive products aligned with an organizational context. We also propose FM-Context, a support tool for modeling and analysis.
KW - Business/IT Alignment
KW - Product Lines
KW - Variability
UR - http://www.scopus.com/inward/record.url?scp=84867809575&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31095-9_14
DO - 10.1007/978-3-642-31095-9_14
M3 - Conference contribution
AN - SCOPUS:84867809575
SN - 9783642310942
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 206
EP - 221
BT - Advanced Information Systems Engineering - 24th International Conference, CAiSE 2012, Proceedings
T2 - 24th International Conference on Advanced Information Systems Engineering, CAiSE 2012
Y2 - 25 June 2012 through 29 June 2012
ER -